How to use xteapot/mar-llama3.1-8B with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf xteapot/mar-llama3.1-8B # Run inference directly in the terminal: llama cli -hf xteapot/mar-llama3.1-8B
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf xteapot/mar-llama3.1-8B # Run inference directly in the terminal: llama cli -hf xteapot/mar-llama3.1-8B
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf xteapot/mar-llama3.1-8B # Run inference directly in the terminal: ./llama-cli -hf xteapot/mar-llama3.1-8B
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf xteapot/mar-llama3.1-8B # Run inference directly in the terminal: ./build/bin/llama-cli -hf xteapot/mar-llama3.1-8B
docker model run hf.co/xteapot/mar-llama3.1-8B
How to use xteapot/mar-llama3.1-8B with Ollama:
ollama run hf.co/xteapot/mar-llama3.1-8B
How to use xteapot/mar-llama3.1-8B with Docker Model Runner:
How to use xteapot/mar-llama3.1-8B with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull xteapot/mar-llama3.1-8B
lemonade run user.mar-llama3.1-8B-{{QUANT_TAG}}
lemonade list
